skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Real-time forecasting of electricity demand in a streams-based architecture with applications

Abstract

A streams platform is used. Multiple streams of electricity usage data are received, each from an electrical meter providing periodic updates to electrical usage for devices connected to the electrical meter. Weather information is received corresponding to locations where the electrical meters are. Real-time predictive modeling of electricity demand is performed based on the received multiple streams of electricity usage data and the received weather information, at least by performing: updating a state space model for electrical load curves using the usage data from the streams and the weather, wherein the updating uses current load observations for the multiple streams for a current time period; and creating forecast(s) for the electricity demand. The forecast(s) of the electricity demand are output. Appliance-level predictions may be made and used, and substitution effects and load management functions may be performed.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568307
Patent Number(s):
10,282,795
Application Number:
15/189,173
Assignee:
International Business Machines Corporation (Armonk, NY)
DOE Contract Number:  
OE0000190
Resource Type:
Patent
Resource Relation:
Patent File Date: 06/22/2016
Country of Publication:
United States
Language:
English

Citation Formats

Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. Real-time forecasting of electricity demand in a streams-based architecture with applications. United States: N. p., 2019. Web.
Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, & Zhang, Xiaoxuan. Real-time forecasting of electricity demand in a streams-based architecture with applications. United States.
Ghosh, Soumyadip, Hosking, Jonathan R., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. Tue . "Real-time forecasting of electricity demand in a streams-based architecture with applications". United States. https://www.osti.gov/servlets/purl/1568307.
@article{osti_1568307,
title = {Real-time forecasting of electricity demand in a streams-based architecture with applications},
author = {Ghosh, Soumyadip and Hosking, Jonathan R. and Natarajan, Ramesh and Subramanian, Shivaram and Zhang, Xiaoxuan},
abstractNote = {A streams platform is used. Multiple streams of electricity usage data are received, each from an electrical meter providing periodic updates to electrical usage for devices connected to the electrical meter. Weather information is received corresponding to locations where the electrical meters are. Real-time predictive modeling of electricity demand is performed based on the received multiple streams of electricity usage data and the received weather information, at least by performing: updating a state space model for electrical load curves using the usage data from the streams and the weather, wherein the updating uses current load observations for the multiple streams for a current time period; and creating forecast(s) for the electricity demand. The forecast(s) of the electricity demand are output. Appliance-level predictions may be made and used, and substitution effects and load management functions may be performed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}

Patent:

Save / Share:

Works referenced in this record:

Model-based load demand control
patent, October 2015


Managed virtual power plant utilizing aggregated storage
patent, September 2013


Method and system for forecasting power requirements using granular metrics
patent, June 2016